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Dataset Title:  Hydrographic data collected during casts with a CTD-rosette system on R/V
Endeavor cruise EN614 from May to June 2018
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_757784)
Range: longitude = -57.26432 to -50.88036°E, latitude = 4.88196 to 16.31844°N, depth = 1.0 to 1905.999m, time = 2018-05-07T17:46Z to 2018-05-29T19:01Z
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form | Files
 
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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Cruise {
    String bcodmo_name "cruise_id";
    String description "Cruise identifier";
    String long_name "Cruise";
    String units "unitless";
  }
  Station {
    String bcodmo_name "station";
    String description "Station number";
    String long_name "Station";
    String units "unitless";
  }
  Site {
    String bcodmo_name "site";
    String description "Site name";
    String long_name "Site";
    String units "unitless";
  }
  Stn_Event {
    String bcodmo_name "event";
    String description "Station event number";
    String long_name "Stn Event";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/EVTAGFL/";
    String units "unitless";
  }
  Filename {
    String bcodmo_name "file_name";
    String description "CTD file name";
    String long_name "Filename";
    String units "unitless";
  }
  Scan {
    Int32 _FillValue 2147483647;
    Int32 actual_range -922, 69186;
    String bcodmo_name "scan";
    String description "Scan count";
    String long_name "Scan";
    String units "Unitless";
  }
  TimeJ {
    Float64 _FillValue NaN;
    Float64 actual_range 127.740616, 149.792877;
    String bcodmo_name "julian_day";
    String description "Julian days";
    String long_name "Time J";
    String units "unitless";
  }
  TimeS {
    Float32 _FillValue NaN;
    Float32 actual_range -38.438, 2882.689;
    String bcodmo_name "time_elapsed";
    String description "Time, Elapsed";
    String long_name "Time S";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ELTMZZZZ/";
    String units "seconds";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.52571516e+9, 1.52762046e+9;
    String axis "T";
    String bcodmo_name "date";
    String description "Date and time. Format: yyyy-mm-dd HH:MM";
    String ioos_category "Time";
    String long_name "Date ODV";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "Date_ODV";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  PrDM {
    Float32 _FillValue NaN;
    Float32 actual_range 1.006, 1925.702;
    String bcodmo_name "pressure";
    String description "Pressure, Digiquartz";
    String long_name "PR DM";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PRESPR01/";
    String units "decibars (db)";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 1.0, 1905.999;
    String axis "Z";
    String bcodmo_name "depth";
    String description "Depth [salt water, m], lat = 8.34783";
    String ioos_category "Location";
    String long_name "Dep SM";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  T090C {
    Float32 _FillValue NaN;
    Float32 actual_range 3.6175, 28.3368;
    String bcodmo_name "temperature";
    String description "Temperature [ITS-90]";
    String long_name "T090 C";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  T190C {
    Float32 _FillValue NaN;
    Float32 actual_range 3.6187, 28.3374;
    String bcodmo_name "temperature";
    String description "Temperature, 2 [ITS-90]";
    String long_name "T190 C";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  T2_T190C {
    Float32 _FillValue NaN;
    Float32 actual_range -0.4435, 0.2696;
    String bcodmo_name "temp_diff";
    String description "Temperature Difference, 2 - 1 [ITS-90]";
    String long_name "T2 T190 C";
    String units "degrees Celsius";
  }
  C0S_m {
    Float32 _FillValue NaN;
    Float32 actual_range 2.480978, 5.753386;
    String bcodmo_name "conductivity";
    String description "Conductivity";
    String long_name "C0 S M";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "Siemens per meter (S/m)";
  }
  C1S_m {
    Float32 _FillValue NaN;
    Float32 actual_range 2.461462, 5.75289;
    String bcodmo_name "conductivity";
    String description "Conductivity 2";
    String long_name "C1 S M";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "Siemens per meter (S/m)";
  }
  C2_C1S_m {
    Float32 _FillValue NaN;
    Float32 actual_range -0.29486, 0.133818;
    String bcodmo_name "conductivity";
    String description "Conductivity Difference, 2 - 1";
    String long_name "C2 C1 S M";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "Siemens per meter (S/m)";
  }
  V0 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.1339, 4.7036;
    String bcodmo_name "unknown";
    String description "Voltage 0";
    String long_name "V0";
    String units "volts";
  }
  CStarAt0 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.454, 16.9588;
    String bcodmo_name "beam_cp";
    String description "Beam Attenuation, WET Labs C-Star";
    String long_name "CStar At0";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ATTNZZ01/";
    String units "reciprocal meters (1/m)";
  }
  CStarTr0 {
    Float32 _FillValue NaN;
    Float32 actual_range 1.4592, 89.2708;
    String bcodmo_name "transmission";
    String description "Beam Transmission, WET Labs C-Star [%]";
    String long_name "CStar Tr0";
    String units "unitless (percent)";
  }
  V1 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0134, 0.1671;
    String bcodmo_name "unknown";
    String description "Voltage 1";
    String long_name "V1";
    String units "volts";
  }
  FlECO_AFL {
    Float32 _FillValue NaN;
    Float32 actual_range -0.1722, 3.8241;
    String bcodmo_name "fluorescence";
    String description "Fluorescence, WET Labs ECO-AFL/FL";
    String long_name "Fl ECO AFL";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  V2 {
    Float32 _FillValue NaN;
    Float32 actual_range -1.3875, 6.2114;
    String bcodmo_name "unknown";
    String description "Voltage 2";
    String long_name "V2";
    String units "volts";
  }
  AltM {
    Float32 _FillValue NaN;
    Float32 actual_range -27.75, 124.23;
    String bcodmo_name "altitude";
    String description "Altimeter";
    String long_name "Alt M";
    String units "meters (m)";
  }
  V3 {
    Float32 _FillValue NaN;
    Float32 actual_range 6.0e-4, 4.5255;
    String bcodmo_name "unknown";
    String description "Voltage 3";
    String long_name "V3";
    String units "volts";
  }
  Par {
    Float32 _FillValue NaN;
    Float32 actual_range -191.0, 3120.0;
    String bcodmo_name "PAR";
    Float64 colorBarMaximum 70.0;
    Float64 colorBarMinimum 0.0;
    String description "PAR/Irradiance, Biospherical/Licor";
    String long_name "Downwelling Photosynthetic Photon Radiance In Sea Water";
    String units "micromoles photons per square meter per second (umol photons/m^2/sec)";
  }
  V4 {
    Float32 _FillValue NaN;
    Float32 actual_range 1.1228, 2.9146;
    String bcodmo_name "unknown";
    String description "Voltage 4";
    String long_name "V4";
    String units "volts";
  }
  Sbeox0V {
    Float32 _FillValue NaN;
    Float32 actual_range 1.1221, 2.9146;
    String bcodmo_name "O2_v";
    String description "Oxygen raw, SBE 43 [V]";
    String long_name "Sbeox0 V";
    String units "volts";
  }
  V5 {
    Float32 _FillValue NaN;
    Float32 actual_range 1.2855, 3.4597;
    String bcodmo_name "unknown";
    String description "Voltage 5";
    String long_name "V5";
    String units "volts";
  }
  Sbeox1V {
    Float32 _FillValue NaN;
    Float32 actual_range 1.2847, 3.4597;
    String bcodmo_name "O2_v";
    String description "Oxygen raw, SBE 43, 2 [V]";
    String long_name "Sbeox1 V";
    String units "volts";
  }
  V6 {
    Float32 _FillValue NaN;
    Float32 actual_range -1.2547, 5.6485;
    String bcodmo_name "unknown";
    String description "Voltage 6";
    String long_name "V6";
    String units "volts";
  }
  V7 {
    Float32 _FillValue NaN;
    Float32 actual_range -0.0106, 5.0666;
    String bcodmo_name "unknown";
    String description "Voltage 7";
    String long_name "V7";
    String units "volts";
  }
  Spar {
    Float32 _FillValue NaN;
    Float32 actual_range -0.0251, 3120.0;
    String bcodmo_name "SPAR";
    String description "SPAR, Biospherical/Licor";
    String long_name "Spar";
    String units "micromoles photons per square meter per second (umol photons/m^2/sec)";
  }
  Pumps {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String bcodmo_name "unknown";
    String description "Pump Status";
    String long_name "Pumps";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 4.88196, 16.31844;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -57.26432, -50.88036;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  DepSM2 {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 1906;
    String bcodmo_name "depth";
    String description "Depth [salt water, m], lat = 8.34783";
    String long_name "Dep SM2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String units "meters";
  }
  Sal00 {
    Float32 _FillValue NaN;
    Float32 actual_range 14.3318, 37.3033;
    String bcodmo_name "sal";
    String description "Salinity, Practical";
    String long_name "Sal00";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "PSU";
  }
  Sal11 {
    Float32 _FillValue NaN;
    Float32 actual_range 14.2042, 37.2961;
    String bcodmo_name "sal";
    String description "Salinity, Practical, 2";
    String long_name "Sal11";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "PSU";
  }
  Sigma_00 {
    Float32 _FillValue NaN;
    Float32 actual_range 7.0903, 27.8183;
    String bcodmo_name "sigma_0";
    String description "Density [sigma-theta]";
    String long_name "Sigma 00";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTPR01/";
    String units "kilograms per cubic meter (kg/m^3)";
  }
  Sigma_11 {
    Float32 _FillValue NaN;
    Float32 actual_range 7.015, 27.8142;
    String bcodmo_name "sigma_0";
    String description "Density, 2 [sigma-theta]";
    String long_name "Sigma 11";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTPR01/";
    String units "kilograms per cubic meter (kg/m^3)";
  }
  Sbeox0Mm_L {
    Float32 _FillValue NaN;
    Float32 actual_range 102.857, 284.158;
    String bcodmo_name "dissolved Oxygen";
    String description "Oxygen, SBE 43, WS = 2";
    String long_name "Sbeox0 Mm L";
    String units "micromoles per liter (umol/L)";
  }
  Sbeox1Mm_L {
    Float32 _FillValue NaN;
    Float32 actual_range 105.967, 295.162;
    String bcodmo_name "dissolved Oxygen";
    String description "Oxygen, SBE 43, 2, WS = 2";
    String long_name "Sbeox1 Mm L";
    String units "micromoles per liter (umol/L)";
  }
  Potemp090C {
    Float32 _FillValue NaN;
    Float32 actual_range 3.4627, 28.3357;
    String bcodmo_name "potemp";
    String description "Potential Temperature [ITS-90]";
    String long_name "Potemp090 C";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/POTMCV01/";
    String units "degrees Celsius";
  }
  Potemp190C {
    Float32 _FillValue NaN;
    Float32 actual_range 3.4639, 28.3362;
    String bcodmo_name "potemp";
    String description "Potential Temperature, 2 [ITS-90]";
    String long_name "Potemp190 C";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/POTMCV01/";
    String units "degrees Celsius";
  }
  SvCM {
    Float32 _FillValue NaN;
    Float32 actual_range 1485.28, 1543.35;
    String bcodmo_name "sound_vel";
    String description "Sound Velocity [Chen-Millero]";
    String long_name "SV CM";
    String units "meters per second (m/s)";
  }
  SvCM1 {
    Float32 _FillValue NaN;
    Float32 actual_range 1485.27, 1543.35;
    String bcodmo_name "sound_vel";
    String description "Sound Velocity, 2 [Chen-Millero]";
    String long_name "SV CM1";
    String units "meters per second (m/s)";
  }
  Dz_dtM {
    Float32 _FillValue NaN;
    Float32 actual_range -0.405, 1.928;
    String bcodmo_name "descent_rate";
    String description "Descent Rate, WS = 2";
    String long_name "DZ DT M";
    String units "meters per second (m/s)";
  }
  Gpa {
    Float32 _FillValue NaN;
    Float32 actual_range -0.338, 22.456;
    String bcodmo_name "unknown";
    String description "Geopotential Anomaly";
    String long_name "Gpa";
    String units "joules per kilogram (J/kg)";
  }
  Nbin {
    Int16 _FillValue 32767;
    Int16 actual_range 2, 2342;
    String bcodmo_name "nbin";
    String description "Number of scans per bin";
    String long_name "Nbin";
    String units "unitless";
  }
  Flag {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.0;
    String bcodmo_name "flag";
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String description "Flag";
    String long_name "Flag";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Hydrographic data collected during casts with a CTD-rosette system (SBE11plus
equipped with a fluorometer, transmissometer, oxygen sensor, and a PAR
sensor.\\u00a0Individual sensor details and calibration info provided in the
\\\"en614-ProfileNotes\\\" supplemental document.";
    String awards_0_award_nid "751096";
    String awards_0_award_number "OCE-1737078";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1737078";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"EN614 Hydrographic Data 
  PI: Joseph Montoya (Georgia Tech) 
  Co-PIs: Ajit Subramaniam (LDEO) & Richard Peterson (Coastal Carolina University) 
  Version date: 06-March-2019";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2019-03-06T21:47:10Z";
    String date_modified "2019-03-15T19:54:18Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.757784.1";
    Float64 Easternmost_Easting -50.88036;
    Float64 geospatial_lat_max 16.31844;
    Float64 geospatial_lat_min 4.88196;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -50.88036;
    Float64 geospatial_lon_min -57.26432;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 1905.999;
    Float64 geospatial_vertical_min 1.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2022-10-01T13:42:21Z (local files)
2022-10-01T13:42:21Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_757784.das";
    String infoUrl "https://www.bco-dmo.org/dataset/757784";
    String institution "BCO-DMO";
    String instruments_0_acronym "CTD SBE 911plus";
    String instruments_0_dataset_instrument_nid "757869";
    String instruments_0_description "The Sea-Bird SBE 911plus is a type of CTD instrument package for continuous measurement of conductivity, temperature and pressure.  The SBE 911plus includes the SBE 9plus Underwater Unit and the SBE 11plus Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9plus and SBE 11plus is called a SBE 911plus.  The SBE 9plus uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3plus and SBE 4). The SBE 9plus CTD can be configured with up to eight auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). more information from Sea-Bird Electronics";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0058/";
    String instruments_0_instrument_name "CTD Sea-Bird SBE 911plus";
    String instruments_0_instrument_nid "591";
    String instruments_0_supplied_name "Sea-Bird SBE 9, 11plus V 5.2";
    String keywords "active, afl, AltM, at0, available, bco, bco-dmo, biological, C0S_m, C1S_m, C2_C1S_m, chemical, cm1, cruise, cstar, CStarAt0, CStarTr0, data, dataset, date, dep, DepSM, DepSM2, dmo, downwelling, downwelling_photosynthetic_photon_radiance_in_sea_water, Dz_dtM, earth, Earth Science > Oceans > Ocean Optics > Photosynthetically Active Radiation, Earth Science > Oceans > Ocean Optics > Radiance, eco, erddap, event, filename, flag, FlECO_AFL, gpa, latitude, longitude, management, nbin, ocean, oceanography, oceans, odv, office, optics, Par, photon, photosynthetic, photosynthetically, potemp090, Potemp090C, potemp190, Potemp190C, PrDM, preliminary, pumps, radiance, radiation, sal00, sal11, sbeox0, Sbeox0Mm_L, Sbeox0V, sbeox1, Sbeox1Mm_L, Sbeox1V, scan, science, sea, seawater, sigma, Sigma_00, Sigma_11, site, sm2, spar, station, stn, Stn_Event, SvCM, SvCM1, t090, T090C, t190, T190C, T2_T190C, time, TimeJ, TimeS, tr0, v, view, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/757784/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/757784";
    Float64 Northernmost_Northing 16.31844;
    String param_mapping "{'757784': {'Latitude': 'flag - latitude', 'Date_ODV': 'flag - time', 'Longitude': 'flag - longitude', 'DepSM': 'flag - depth'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/757784/parameters";
    String people_0_affiliation "Georgia Institute of Technology";
    String people_0_affiliation_acronym "Georgia Tech";
    String people_0_person_name "Joseph P. Montoya";
    String people_0_person_nid "51125";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Coastal Carolina University";
    String people_1_person_name "Richard N. Peterson";
    String people_1_person_nid "701779";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Lamont-Doherty Earth Observatory";
    String people_2_affiliation_acronym "LDEO";
    String people_2_person_name "Ajit Subramaniam";
    String people_2_person_nid "50857";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Shannon Rauch";
    String people_3_person_nid "51498";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "Amazon River Plume Nitrogen";
    String projects_0_acronym "Amazon River Plume Nitrogen";
    String projects_0_description 
"NSF Award Abstract:
This is a focused program of field research in waters of the Western Tropical North Atlantic influenced by the Amazon River Plume during the high river flow season. The Amazon Plume region supports diverse plankton communities in a dynamic system driven by nutrients supplied by transport from the river proper as well as nutrients entrained from offshore waters by physical mixing and upwelling. This creates strong interactions among physical, chemical, and biological processes across a range of spatial and temporal scales. The field program will link direct measurements of environmental properties with focused experimental studies of nutrient supply and nutrient limitation of phytoplankton, as well as the transfer of phytoplankton nitrogen to the zooplankton food web. The Amazon Plume exhibits a close juxtaposition of distinct communities during the high-flow season, making it an ideal site for evaluating how nutrient availability, nutrient supply, and habitat longevity interact to drive offshore ecosystem dynamics and function. This project will include German collaborators and will seamlessly integrate education and research efforts. The investigators and their institutions have a strong commitment to undergraduate and graduate education and to increasing the diversity of the ocean science community through active recruiting and training efforts. The team has a strong track record of involving both undergraduate and graduate students in their field and lab research. The two research cruises planned will provide opportunities for students and technicians to interact with an interdisciplinary and international research team.
The ultimate objectives of this project are to understand the processes and interactions that promote distinct communities of nitrogen-fixing organisms (diazotrophs) and other phytoplankton around the Amazon Plume and to explore the impacts of these diazotroph-rich communities on zooplankton biomass and production. The research team includes scientists with expertise in nutrient and stable isotope biogeochemistry, remote sensing as well as specialists in characterizing water mass origin and history using naturally occurring radium isotopes. This combination of approaches will provide a unique opportunity to address fundamental questions related to plankton community structure, primary production, and links to secondary production in pelagic ecosystems. The project will address the following key questions focused on fundamental issues in plankton ecology resulting from previous research in this region:
A. What mechanisms promote the preferential delivery of bioavailable phosphorus and the resulting strong nitrogen limitation associated with the northern reaches of the Amazon Plume during the high flow season?
B. What factors lead to the clear niche separation between diazotrophs within and around the Amazon Plume and how are the distinct diazotroph communities influenced by hydrographic and biogeochemical controls associated with the Amazon River Plume and offshore upwelling processes?
C. How does the nitrogen fixed by the different types of diazotrophs contribute to secondary production, and how efficiently does diazotroph nitrogen move through the food web?";
    String projects_0_end_date "2020-12";
    String projects_0_geolocation "Amazon River plume";
    String projects_0_name "Collaborative Research: Impact of the Amazon River Plume on Nitrogen Availability and Planktonic Food Web Dynamics in the Western Tropical North Atlantic";
    String projects_0_project_nid "751093";
    String projects_0_start_date "2018-01";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 4.88196;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "Cruise,Pumps,Flag";
    String summary "Hydrographic data collected during casts with a CTD-rosette system on R/V Endeavor cruise EN614 from May to June 2018.";
    String time_coverage_end "2018-05-29T19:01Z";
    String time_coverage_start "2018-05-07T17:46Z";
    String title "Hydrographic data collected during casts with a CTD-rosette system on R/V Endeavor cruise EN614 from May to June 2018";
    String version "1";
    Float64 Westernmost_Easting -57.26432;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
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